Abstract
This chapter addresses applications of multiobjective search. The approach is two-fold. The first is to demonstrate the modeling and solving of practical multi-criteria optimization problems using the multiobjective search scheme. The other is to compare the relative efficiency of the multiobjective search techniques developed in chapter 3 (such as MOA** and MOMA*0) with straight-forward generalizations of standard single objective search strategies (such as A* and Depth-first Branch and Bound).
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© 1999 Friedr. Vieweg & Sohn Verlagsgesellschaft mbH, Braunschweig/Wiesbaden
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Dasgupta, P., Chakrabarti, P.P., DeSarkar, S.C. (1999). Applications of Multiobjective Search. In: Multiobjective Heuristic Search. Computational Intelligence. Vieweg+Teubner Verlag. https://doi.org/10.1007/978-3-322-86853-4_4
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DOI: https://doi.org/10.1007/978-3-322-86853-4_4
Publisher Name: Vieweg+Teubner Verlag
Print ISBN: 978-3-528-05708-4
Online ISBN: 978-3-322-86853-4
eBook Packages: Springer Book Archive